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Using empirical research and human performance modeling to predict astronaut performance in long duration space missions  (2014)
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This symposium session consists of four papers describing the Space Performance Research Integration Tool (S-PRINT) project, sponsored by NASA's Human Research Program (HRP). The efforts undertaken as part of this project were to develop tools and empirically-based guidelines that support human performance researchers, mission planners, automation designers, and astronauts in long-duration missions. The S-PRINT project addresses aspects of the work environment that are characterized by workload transitions that might occur during long-duration missions. Workload transitions are a potential worst-case scenario, in which under- loaded, fatigued astronauts experience automation failures that require immediate diagnosis and intervention.

This current research effort has focused on the underload situation and on the effects that fatigue has on performance, human performance during overload / multitasking situations, and on automation design factors that affect operator performance in anticipating and managing such transitions. In this session, the investigators will present four papers (identified below) that describe different aspects of the research completed to develop the S-PRINT models. The session will show an integrated approach of using empirical research and human performance modeling to predict operator performance in operations that are in the design phase. In part, this panel will highlight the way that the products from this research can be used to help the above-listed users (a) anticipate and avoid potential problems related to unexpected workload transitions by identifying the expected effects of operator fatigue, automation system design, and task factors on overload performance, and to (b) assure systems can be designed in such a way as to optimize performance in space exploration missions, particularly those that are experienced during longer term missions (6+ months).
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astronaut, duration, empirical, human, long, missions, modeling, performance, performance, predict, research, space, Using
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In the proceedings of the 2014 International Annual Human Factors and Ergonomics Society Meeting, October 27-30, Chicago, IL
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Curator: Phil So
NASA Official: Jessica Nowinski
Last Updated: August 15, 2019